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###context:CREATE TABLE table_name_15 (city VARCHAR, sep VARCHAR) ###human: Name the city with september of 83 °f / 28.3 °c ###assistant: SELECT city FROM table_name_15 WHERE sep = "83 °f / 28.3 °c"
###context:CREATE TABLE table_name_28 (jun VARCHAR, jul VARCHAR) ###human: Name the june when it has july of 84 °f / 28.9 °c ###assistant: SELECT jun FROM table_name_28 WHERE jul = "84 °f / 28.9 °c"
###context:CREATE TABLE table_name_84 (time VARCHAR, date VARCHAR) ###human: What Time has Date of May 9? ###assistant: SELECT time FROM table_name_84 WHERE date = "may 9"
###context:CREATE TABLE table_name_37 (roll INTEGER, name VARCHAR) ###human: What is the lowest roll number of Katikati college? ###assistant: SELECT MIN(roll) FROM table_name_37 WHERE name = "katikati college"
###context:CREATE TABLE table_name_85 (roll INTEGER, decile VARCHAR, area VARCHAR) ###human: What is the highest roll number of the school in Te puna with a decile larger than 2? ###assistant: SELECT MAX(roll) FROM table_name_85 WHERE decile > 2 AND area = "te puna"
###context:CREATE TABLE table_name_62 (roll VARCHAR, decile VARCHAR, name VARCHAR) ###human: What is the roll number of Te Puke Intermediate, which has a decile of 4? ###assistant: SELECT roll FROM table_name_62 WHERE decile = 4 AND name = "te puke intermediate"
###context:CREATE TABLE table_name_79 (roll INTEGER, authority VARCHAR, decile VARCHAR) ###human: What is the highest roll number of the school with a state authority and a decile smaller than 8? ###assistant: SELECT MAX(roll) FROM table_name_79 WHERE authority = "state" AND decile < 8
###context:CREATE TABLE table_name_10 (lost INTEGER, points VARCHAR, draw VARCHAR) ###human: What is the total value for Lost, when the value for Points is greater than 21, and when the value for Draw is 2? ###assistant: SELECT SUM(lost) FROM table_name_10 WHERE points > 21 AND draw = 2
###context:CREATE TABLE table_name_33 (goals_scored INTEGER, team VARCHAR, points VARCHAR) ###human: What is the total number of Goals Scored, when the Team is San Salvador F.C., and when the Points are less than 10? ###assistant: SELECT MAX(goals_scored) FROM table_name_33 WHERE team = "san salvador f.c." AND points < 10
###context:CREATE TABLE table_name_86 (goals_conceded INTEGER, points VARCHAR, played VARCHAR) ###human: What are the total amount of Goals Conceded when the Points are less than 26, and when the value for Played is less than 18? ###assistant: SELECT SUM(goals_conceded) FROM table_name_86 WHERE points < 26 AND played < 18
###context:CREATE TABLE table_name_95 (lost INTEGER, goals_scored VARCHAR, played VARCHAR) ###human: What is the average value for Lost, when the value for Goals Scored is greater than 20, and when the value for Played is less than 18? ###assistant: SELECT AVG(lost) FROM table_name_95 WHERE goals_scored > 20 AND played < 18
###context:CREATE TABLE table_name_20 (score VARCHAR, place VARCHAR, player VARCHAR) ###human: What is score of the game played in place t8 with Byron Nelson playing? ###assistant: SELECT score FROM table_name_20 WHERE place = "t8" AND player = "byron nelson"
###context:CREATE TABLE table_name_55 (money___ INTEGER, country VARCHAR, player VARCHAR) ###human: What is the sum of Money of the game that was played in the United States with Sam Snead as a player? ###assistant: SELECT SUM(money___) AS $__ FROM table_name_55 WHERE country = "united states" AND player = "sam snead"
###context:CREATE TABLE table_name_57 (money___ INTEGER, score VARCHAR) ###human: What is the Money ($) of the game with a score of 69-74-70-73=286? ###assistant: SELECT MAX(money___) AS $__ FROM table_name_57 WHERE score = 69 - 74 - 70 - 73 = 286
###context:CREATE TABLE table_name_82 (mountains_classification VARCHAR, stage VARCHAR, young_rider_classification VARCHAR, intergiro_classification VARCHAR) ###human: Name the mountains classification which has a young rider classification of francesco casagrande and integiro classification of not awarded with stage of 2 ###assistant: SELECT mountains_classification FROM table_name_82 WHERE young_rider_classification = "francesco casagrande" AND intergiro_classification = "not awarded" AND stage = "2"
###context:CREATE TABLE table_name_89 (winner VARCHAR, stage VARCHAR, points_classification VARCHAR, intergiro_classification VARCHAR) ###human: Name the winner for adriano baffi and integiro classification of ján svorada for stage of 13 ###assistant: SELECT winner FROM table_name_89 WHERE points_classification = "adriano baffi" AND intergiro_classification = "ján svorada" AND stage = "13"
###context:CREATE TABLE table_name_55 (trofeo_fast_team VARCHAR, young_rider_classification VARCHAR, stage VARCHAR) ###human: Name trofeo fast team with young rider classification of francesco casagrande and stage of 10 ###assistant: SELECT trofeo_fast_team FROM table_name_55 WHERE young_rider_classification = "francesco casagrande" AND stage = "10"
###context:CREATE TABLE table_name_69 (total INTEGER, routine_score VARCHAR) ###human: What is the sum of the total for a routine score of 26.6? ###assistant: SELECT SUM(total) FROM table_name_69 WHERE routine_score = 26.6
###context:CREATE TABLE table_name_53 (january VARCHAR, april VARCHAR) ###human: Name the january when april is courtney rachel culkin ###assistant: SELECT january FROM table_name_53 WHERE april = "courtney rachel culkin"
###context:CREATE TABLE table_name_17 (october VARCHAR, november VARCHAR) ###human: Name the october when november is buffy tyler ###assistant: SELECT october FROM table_name_17 WHERE november = "buffy tyler"
###context:CREATE TABLE table_name_47 (october VARCHAR, september VARCHAR) ###human: Name the october when the september is dalene kurtis ###assistant: SELECT october FROM table_name_47 WHERE september = "dalene kurtis"
###context:CREATE TABLE table_name_41 (april VARCHAR, june VARCHAR) ###human: Name the april for candice cassidy ###assistant: SELECT april FROM table_name_41 WHERE june = "candice cassidy"
###context:CREATE TABLE table_name_71 (october VARCHAR, july VARCHAR) ###human: Name the october for july of kimberley stanfield ###assistant: SELECT october FROM table_name_71 WHERE july = "kimberley stanfield"
###context:CREATE TABLE table_name_25 (representative VARCHAR, state VARCHAR, years VARCHAR) ###human: Which Representative was from Kentucky during the years of 1855–1859? ###assistant: SELECT representative FROM table_name_25 WHERE state = "kentucky" AND years = "1855–1859"
###context:CREATE TABLE table_name_31 (lifespan VARCHAR, party VARCHAR, years VARCHAR) ###human: What was the lifespan of the Representative from the Republican Party during the years of 1953–1970? ###assistant: SELECT lifespan FROM table_name_31 WHERE party = "republican" AND years = "1953–1970"
###context:CREATE TABLE table_name_20 (years VARCHAR, state VARCHAR, lifespan VARCHAR) ###human: What years did the Representative from Iowa with a lifespan of 1880–1942 serve? ###assistant: SELECT years FROM table_name_20 WHERE state = "iowa" AND lifespan = "1880–1942"
###context:CREATE TABLE table_name_71 (representative VARCHAR, lifespan VARCHAR) ###human: Which Representative had a Lifespan of 1795–1866? ###assistant: SELECT representative FROM table_name_71 WHERE lifespan = "1795–1866"
###context:CREATE TABLE table_name_47 (week INTEGER, attendance VARCHAR) ###human: When did the Chiefs have their first bye? ###assistant: SELECT MIN(week) FROM table_name_47 WHERE attendance = "bye"
###context:CREATE TABLE table_name_76 (position VARCHAR, round VARCHAR) ###human: What is the position played for the player drafted in round 2? ###assistant: SELECT position FROM table_name_76 WHERE round = 2
###context:CREATE TABLE table_name_54 (name VARCHAR, position VARCHAR) ###human: what is the name of the player that played position 3b? ###assistant: SELECT name FROM table_name_54 WHERE position = "3b"
###context:CREATE TABLE table_name_90 (school VARCHAR, name VARCHAR) ###human: what is the school for Ivey armstrong? ###assistant: SELECT school FROM table_name_90 WHERE name = "ivey armstrong"
###context:CREATE TABLE table_name_37 (position VARCHAR, school VARCHAR) ###human: what is the position for the player from university of alabama? ###assistant: SELECT position FROM table_name_37 WHERE school = "university of alabama"
###context:CREATE TABLE table_name_22 (days_with_frost INTEGER, city_town VARCHAR) ###human: How many days with frost were there in the City/Town of Lugo have? ###assistant: SELECT SUM(days_with_frost) FROM table_name_22 WHERE city_town = "lugo"
###context:CREATE TABLE table_name_98 (sunlight_hours INTEGER, city_town VARCHAR, days_with_frost VARCHAR) ###human: What is the lowest number of sunlight hours, and number of days with frost, more than 30, for the city of Ourense? ###assistant: SELECT MIN(sunlight_hours) FROM table_name_98 WHERE city_town = "ourense" AND days_with_frost > 30
###context:CREATE TABLE table_name_23 (sunlight_hours INTEGER, city_town VARCHAR) ###human: What is the largest amount of sunlight hours for the City of Pontevedra? ###assistant: SELECT MAX(sunlight_hours) FROM table_name_23 WHERE city_town = "pontevedra"
###context:CREATE TABLE table_name_8 (lane INTEGER, nationality VARCHAR, rank VARCHAR) ###human: for the rank of 3 for the united states, what is the average lane? ###assistant: SELECT AVG(lane) FROM table_name_8 WHERE nationality = "united states" AND rank = 3
###context:CREATE TABLE table_name_30 (lane INTEGER, nationality VARCHAR, rank VARCHAR) ###human: for the rank more than 1 and nationality of netherlands, what is the lane? ###assistant: SELECT AVG(lane) FROM table_name_30 WHERE nationality = "netherlands" AND rank > 1
###context:CREATE TABLE table_name_27 (nationality VARCHAR, lane VARCHAR, time VARCHAR) ###human: for the time of 49.04 and lane less than 3, what is the nationality? ###assistant: SELECT nationality FROM table_name_27 WHERE lane < 3 AND time = 49.04
###context:CREATE TABLE table_name_99 (name VARCHAR, lane VARCHAR, rank VARCHAR) ###human: for the rank of 8 and lane less than 3 what is the name? ###assistant: SELECT name FROM table_name_99 WHERE lane < 3 AND rank = 8
###context:CREATE TABLE table_name_1 (played VARCHAR, lost VARCHAR) ###human: What play has a loss of 2? ###assistant: SELECT played FROM table_name_1 WHERE lost = "2"
###context:CREATE TABLE table_name_27 (try_bonus VARCHAR, club VARCHAR) ###human: What try bonus has a club of caerphilly rfc? ###assistant: SELECT try_bonus FROM table_name_27 WHERE club = "caerphilly rfc"
###context:CREATE TABLE table_name_38 (club VARCHAR, played VARCHAR, losing_bonus VARCHAR) ###human: What club has a play of 22, and losing bonus of 7? ###assistant: SELECT club FROM table_name_38 WHERE played = "22" AND losing_bonus = "7"
###context:CREATE TABLE table_name_93 (points_against VARCHAR, tries_against VARCHAR, lost VARCHAR) ###human: What point against has tries against of 77, and a lost of 16? ###assistant: SELECT points_against FROM table_name_93 WHERE tries_against = "77" AND lost = "16"
###context:CREATE TABLE table_name_64 (sport VARCHAR, league VARCHAR) ###human: The nll participate in what sport? ###assistant: SELECT sport FROM table_name_64 WHERE league = "nll"
###context:CREATE TABLE table_name_50 (began_play VARCHAR, club VARCHAR) ###human: When did the Club of western new york flash begin to play? ###assistant: SELECT began_play FROM table_name_50 WHERE club = "western new york flash"
###context:CREATE TABLE table_name_61 (club VARCHAR, sport VARCHAR, league VARCHAR) ###human: Which club plays soccer in the nwsl? ###assistant: SELECT club FROM table_name_61 WHERE sport = "soccer" AND league = "nwsl"
###context:CREATE TABLE table_name_48 (began_play VARCHAR, club VARCHAR) ###human: When did the Rochester Rhinos begin to play? ###assistant: SELECT began_play FROM table_name_48 WHERE club = "rochester rhinos"
###context:CREATE TABLE table_name_51 (total INTEGER, tour VARCHAR, giro VARCHAR) ###human: The sun of total that has a tour of 7 and a Giro smaller than 3 is 12. ###assistant: SELECT SUM(total) FROM table_name_51 WHERE tour = 7 AND giro < 3
###context:CREATE TABLE table_name_68 (gender VARCHAR, name VARCHAR) ###human: What genders did Lynmore Primary School take? ###assistant: SELECT gender FROM table_name_68 WHERE name = "lynmore primary school"
###context:CREATE TABLE table_name_45 (area VARCHAR, name VARCHAR, gender VARCHAR, decile VARCHAR) ###human: Which area served coed genders at Kaharoa school and had a Decile of 9? ###assistant: SELECT area FROM table_name_45 WHERE gender = "coed" AND decile = "9" AND name = "kaharoa school"
###context:CREATE TABLE table_name_15 (gender VARCHAR, authority VARCHAR, roll VARCHAR) ###human: What was the gender for the integrated authority with a roll of 142? ###assistant: SELECT gender FROM table_name_15 WHERE authority = "integrated" AND roll = 142
###context:CREATE TABLE table_name_46 (authority VARCHAR, area VARCHAR, gender VARCHAR) ###human: Who is the authority for the coed Eastbourne school? ###assistant: SELECT authority FROM table_name_46 WHERE area = "eastbourne" AND gender = "coed"
###context:CREATE TABLE table_name_99 (laps VARCHAR, rank VARCHAR) ###human: What is the sum of all laps with rank 3? ###assistant: SELECT COUNT(laps) FROM table_name_99 WHERE rank = "3"
###context:CREATE TABLE table_name_32 (laps INTEGER, start VARCHAR, finish VARCHAR) ###human: What is the sum of all laps starting at 10 and finishing at 20? ###assistant: SELECT SUM(laps) FROM table_name_32 WHERE start = "10" AND finish = "20"
###context:CREATE TABLE table_name_90 (rank VARCHAR, start VARCHAR, laps VARCHAR) ###human: What's the rank when the start is 10 and the laps are fewer than 192? ###assistant: SELECT rank FROM table_name_90 WHERE start = "10" AND laps < 192
###context:CREATE TABLE table_name_99 (rank VARCHAR, laps VARCHAR, qual VARCHAR) ###human: What's the rank when the laps are fewer than 137 and the qual is 116.470? ###assistant: SELECT rank FROM table_name_99 WHERE laps < 137 AND qual = "116.470"
###context:CREATE TABLE table_name_61 (director_s_ VARCHAR, writer_s_ VARCHAR) ###human: What director worked with Al Mackay as writer? ###assistant: SELECT director_s_ FROM table_name_61 WHERE writer_s_ = "al mackay"
###context:CREATE TABLE table_name_94 (producer_s_ VARCHAR, writer_s_ VARCHAR) ###human: Which producer worked with Robert Sproul-cran as writer? ###assistant: SELECT producer_s_ FROM table_name_94 WHERE writer_s_ = "robert sproul-cran"
###context:CREATE TABLE table_name_8 (film VARCHAR, writer_s_ VARCHAR) ###human: Which film did Al Mackay write? ###assistant: SELECT film FROM table_name_8 WHERE writer_s_ = "al mackay"
###context:CREATE TABLE table_name_22 (director_s_ VARCHAR, film VARCHAR) ###human: Who directed the film 'The Chapel'? ###assistant: SELECT director_s_ FROM table_name_22 WHERE film = "the chapel"
###context:CREATE TABLE table_name_40 (award VARCHAR, producer_s_ VARCHAR) ###human: What award did Andrew Ryder win as producer? ###assistant: SELECT award FROM table_name_40 WHERE producer_s_ = "andrew ryder"
###context:CREATE TABLE table_name_72 (rank INTEGER, nationality VARCHAR, lane VARCHAR) ###human: What is the total national rank of Canada with lanes larger than 3? ###assistant: SELECT SUM(rank) FROM table_name_72 WHERE nationality = "canada" AND lane > 3
###context:CREATE TABLE table_name_32 (wins VARCHAR, points VARCHAR, draws VARCHAR) ###human: For the team with 39+1 points and fewer than 7 draws, how many wins were scored? ###assistant: SELECT COUNT(wins) FROM table_name_32 WHERE points = "39+1" AND draws < 7
###context:CREATE TABLE table_name_94 (draws INTEGER, goal_difference VARCHAR, losses VARCHAR) ###human: For a goal difference greater than 3 and fewer than 8 losses, what is the most draws scored? ###assistant: SELECT MAX(draws) FROM table_name_94 WHERE goal_difference > 3 AND losses < 8
###context:CREATE TABLE table_name_47 (club VARCHAR, goals_against VARCHAR, goal_difference VARCHAR) ###human: Which club had fewer than 29 goals against and a difference smaller than 26? ###assistant: SELECT club FROM table_name_47 WHERE goals_against < 29 AND goal_difference < 26
###context:CREATE TABLE table_name_70 (score VARCHAR, attendance VARCHAR) ###human: What was the score when the Rangers' attendance was 23,493? ###assistant: SELECT score FROM table_name_70 WHERE attendance = "23,493"
###context:CREATE TABLE table_name_60 (opponent VARCHAR, date VARCHAR) ###human: Who was the opponent on the game on April 14, 2007? ###assistant: SELECT opponent FROM table_name_60 WHERE date = "april 14, 2007"
###context:CREATE TABLE table_name_15 (attendance VARCHAR, date VARCHAR) ###human: How many people were in attendance on the game on April 8, 2007? ###assistant: SELECT attendance FROM table_name_15 WHERE date = "april 8, 2007"
###context:CREATE TABLE table_name_18 (date VARCHAR, attendance VARCHAR) ###human: What was the date of the game with 16,404 people? ###assistant: SELECT date FROM table_name_18 WHERE attendance = "16,404"
###context:CREATE TABLE table_name_61 (category VARCHAR, winner_nominee_s_ VARCHAR) ###human: Which category was Dev Patel nominated for? ###assistant: SELECT category FROM table_name_61 WHERE winner_nominee_s_ = "dev patel"
###context:CREATE TABLE table_name_19 (film VARCHAR, winner_nominee_s_ VARCHAR, result VARCHAR) ###human: Which film was Eddie Murphy nominated for? ###assistant: SELECT film FROM table_name_19 WHERE winner_nominee_s_ = "eddie murphy" AND result = "nominated"
###context:CREATE TABLE table_name_71 (finish VARCHAR, start VARCHAR) ###human: When the start is 22, what is the finish? ###assistant: SELECT finish FROM table_name_71 WHERE start = "22"
###context:CREATE TABLE table_name_39 (year VARCHAR, laps VARCHAR) ###human: What year resulted in 54 laps? ###assistant: SELECT year FROM table_name_39 WHERE laps = 54
###context:CREATE TABLE table_name_89 (date VARCHAR, score VARCHAR) ###human: On what date was the score 2–4? ###assistant: SELECT date FROM table_name_89 WHERE score = "2–4"
###context:CREATE TABLE table_name_93 (home VARCHAR, score VARCHAR) ###human: Who was the home team when the score was 4–3? ###assistant: SELECT home FROM table_name_93 WHERE score = "4–3"
###context:CREATE TABLE table_name_53 (date VARCHAR, record VARCHAR) ###human: On what date was the record 2–1? ###assistant: SELECT date FROM table_name_53 WHERE record = "2–1"
###context:CREATE TABLE table_name_96 (winning_driver VARCHAR, fastest_lap VARCHAR, winning_team VARCHAR, round VARCHAR) ###human: Who was the winning driver with the winning team Opel Team Holzer 1, and a round under 9 with the fastest lap being Bernd Schneider? ###assistant: SELECT winning_driver FROM table_name_96 WHERE winning_team = "opel team holzer 1" AND round < 9 AND fastest_lap = "bernd schneider"
###context:CREATE TABLE table_name_18 (round VARCHAR, winning_manufacturer VARCHAR, circuit VARCHAR) ###human: What was the final number for the winning manufacturer with Mercedes-benz, and a circuit of hockenheimring? ###assistant: SELECT COUNT(round) FROM table_name_18 WHERE winning_manufacturer = "mercedes-benz" AND circuit = "hockenheimring"
###context:CREATE TABLE table_name_34 (date VARCHAR, circuit VARCHAR, winning_manufacturer VARCHAR) ###human: What was the date of Circuit Hockenheimring and the winning manufacturer being Mercedes-Benz? ###assistant: SELECT date FROM table_name_34 WHERE circuit = "hockenheimring" AND winning_manufacturer = "mercedes-benz"
###context:CREATE TABLE table_name_15 (winning_driver VARCHAR, circuit VARCHAR) ###human: Who was the winning driver of the Circuit of Lausitzring? ###assistant: SELECT winning_driver FROM table_name_15 WHERE circuit = "lausitzring"
###context:CREATE TABLE table_name_47 (city_of_license VARCHAR, brand VARCHAR) ###human: What is the city of txdot har? ###assistant: SELECT city_of_license FROM table_name_47 WHERE brand = "txdot har"
###context:CREATE TABLE table_name_22 (website VARCHAR, brand VARCHAR) ###human: What was radio mexicana's website? ###assistant: SELECT website FROM table_name_22 WHERE brand = "radio mexicana"
###context:CREATE TABLE table_name_11 (player VARCHAR, rank INTEGER) ###human: Which player ranks higher than 9? ###assistant: SELECT player FROM table_name_11 WHERE rank > 9
###context:CREATE TABLE table_name_78 (gross_revenue__2011_ VARCHAR, gross_revenue__1982_ VARCHAR) ###human: What was the 2011 gross revenue for the venue that had a gross revenue of $156,315 in 1982? ###assistant: SELECT gross_revenue__2011_ FROM table_name_78 WHERE gross_revenue__1982_ = "$156,315"
###context:CREATE TABLE table_name_6 (gross_revenue__2011_ VARCHAR, gross_revenue__1982_ VARCHAR) ###human: What was the 2011 gross revenue for the venue that had a gross revenue of $156,315 in 1982? ###assistant: SELECT gross_revenue__2011_ FROM table_name_6 WHERE gross_revenue__1982_ = "$156,315"
###context:CREATE TABLE table_name_51 (tickets_sold___available VARCHAR, gross_revenue__2011_ VARCHAR) ###human: How many tickets were sold / available for the venue that had a gross revenue of $333,100 in 2011? ###assistant: SELECT tickets_sold___available FROM table_name_51 WHERE gross_revenue__2011_ = "$333,100"
###context:CREATE TABLE table_name_54 (venue VARCHAR, city VARCHAR) ###human: What is the venue in the city of Brussels, Belgium? ###assistant: SELECT venue FROM table_name_54 WHERE city = "brussels, belgium"
###context:CREATE TABLE table_name_84 (venue VARCHAR, gross_revenue__2011_ VARCHAR) ###human: What venue had gross revenues of $1,325,153 in 2011? ###assistant: SELECT venue FROM table_name_84 WHERE gross_revenue__2011_ = "$1,325,153"
###context:CREATE TABLE table_name_90 (total_region INTEGER, mt_morgan INTEGER) ###human: What is the sum of people in the total region when more than 5,060 were in Mt. Morgan? ###assistant: SELECT SUM(total_region) FROM table_name_90 WHERE mt_morgan > 5 OFFSET 060
###context:CREATE TABLE table_name_48 (swimsuit INTEGER, preliminaries INTEGER) ###human: What is the total swimsuit with Preliminaries smaller than 8.27? ###assistant: SELECT SUM(swimsuit) FROM table_name_48 WHERE preliminaries < 8.27
###context:CREATE TABLE table_name_65 (interview INTEGER, average VARCHAR, preliminaries VARCHAR, evening_gown VARCHAR) ###human: What's the average interview with Preliminaries larger than 8.27, an Evening Gown of 8.85, and an Average smaller than 8.842? ###assistant: SELECT AVG(interview) FROM table_name_65 WHERE preliminaries > 8.27 AND evening_gown = 8.85 AND average < 8.842
###context:CREATE TABLE table_name_32 (swimsuit VARCHAR, evening_gown VARCHAR, interview VARCHAR) ###human: How many swimsuits have an Evening Gown larger than 9, and an Interview larger than 8.405? ###assistant: SELECT COUNT(swimsuit) FROM table_name_32 WHERE evening_gown > 9 AND interview > 8.405
###context:CREATE TABLE table_name_71 (state_s_ VARCHAR, percent_change__1990_2000_ VARCHAR) ###human: What is the 2000 population in OK with a 1990-2000 percent change of A078 +17.22%? ###assistant: SELECT 2000 AS _population FROM table_name_71 WHERE state_s_ = "ok" AND percent_change__1990_2000_ = "a078 +17.22%"
###context:CREATE TABLE table_name_74 (matches INTEGER, goalkeeper VARCHAR, average VARCHAR) ###human: How many matches did goalkeeper Wilfredo Caballero have an average less than 1.11? ###assistant: SELECT SUM(matches) FROM table_name_74 WHERE goalkeeper = "wilfredo caballero" AND average < 1.11
###context:CREATE TABLE table_name_85 (average VARCHAR, goals VARCHAR, goalkeeper VARCHAR) ###human: What is the average goals less than 41 that goalkeeper Claudio Bravo had? ###assistant: SELECT COUNT(average) FROM table_name_85 WHERE goals < 41 AND goalkeeper = "claudio bravo"
###context:CREATE TABLE table_name_3 (average INTEGER, goals VARCHAR, team VARCHAR) ###human: What is the highest average of goals less than 45 for team Real Sociedad? ###assistant: SELECT MAX(average) FROM table_name_3 WHERE goals < 45 AND team = "real sociedad"
###context:CREATE TABLE table_name_19 (ceased_to_be_countess VARCHAR, birth VARCHAR) ###human: When did the person born on 3 May 1446 cease to be countess? ###assistant: SELECT ceased_to_be_countess FROM table_name_19 WHERE birth = "3 may 1446"
###context:CREATE TABLE table_name_97 (father VARCHAR, birth VARCHAR) ###human: Who was the father of the person born in 1363? ###assistant: SELECT father FROM table_name_97 WHERE birth = "1363"
###context:CREATE TABLE table_name_90 (marriage VARCHAR, death VARCHAR) ###human: When was the marriage of the person who died on 17 December 1471? ###assistant: SELECT marriage FROM table_name_90 WHERE death = "17 december 1471"
###context:CREATE TABLE table_name_38 (surface VARCHAR, against VARCHAR) ###human: On what surface did Poland play as the against team? ###assistant: SELECT surface FROM table_name_38 WHERE against = "poland"